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Improvement in the computational efficiency of the coupled FEM-SBFEM approach for 3D seismic SSI analysis in the time domain

机译:时域3D地震SSI分析的FEM-SBFEM耦合方法的计算效率提高

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The scaled boundary finite element method (SBFEM) is an attractive approach for modelling unbounded media because it offers the advantages of both the finite element method (FEM) and the boundary element method (BEM) avoiding their respective drawbacks. Unfortunately, being a rigorous method, the SBFEM exhibits non-locality in both time and space, which results in significant numerical effort, especially for large problems with many degrees of freedom and a long simulation time. In order to improve the performance of this method, two different approximation techniques - one in time and one in space have been combined and implemented in the present work. A three-dimensional embedded footing problem was solved for the dynamic load, including a chirp load and a sinusoidal load. The combination of the two approximation techniques implemented in the time domain-coupled FEM-SBFEM approach for 3D analysis leads to significant reduction in computational time and storage requirements with insignificant loss in accuracy. The computational time required for the approximation techniques was found to be only 5% of that required using the conventional method, whereas the loss in accuracy was found to be less than 5%. Further, numerical problems for the externally applied dynamic load as well as the seismic load demonstrate the applicability of the coupled FEM-SBFEM approach for modelling dynamic soil-structure interaction (SSI) problems. (C) 2015 Elsevier Ltd. All rights reserved.
机译:缩放边界有限元方法(SBFEM)是一种用于建模无边界介质的有吸引力的方法,因为它提供了有限元方法(FEM)和边界元方法(BEM)的优点,避免了它们各自的缺点。不幸的是,作为一种严格的方法,SBFEM在时间和空间上都表现出非局部性,这导致了巨大的数值努力,尤其是对于具有许多自由度和较长仿真时间的大型问题。为了提高该方法的性能,在本工作中已结合并实现了两种不同的近似技术-一种在时间上,一种在空间上。解决了动态荷载(包括线性荷载和正弦荷载)的三维嵌入式立足问题。用于3D分析的时域耦合FEM-SBFEM方法中实现的两种近似技术的结合,可显着减少计算时间和存储需求,而准确性损失不大。发现逼近技术所需的计算时间仅为使用常规方法所需的计算时间的5%,而发现精度损失则小于5%。此外,外部施加的动态载荷以及地震载荷的数值问题证明了耦合FEM-SBFEM方法可用于对动力土-结构相互作用(SSI)问题进行建模。 (C)2015 Elsevier Ltd.保留所有权利。

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